Abstract:The distribution of dynamic information from many sources to many destinations is a key challenge for VANET applications such as cooperative traffic information management or decentralized parking guidance systems. In order for these systems to remain scalable it has been proposed to aggregate the information within the network as it travels from the sources to the destinations. However, so far it has remained unclear by what amount the aggregation scheme needs to reduce the original data in order to be consid… Show more
“…The main challenge for all of these beacon systems is their sensitivity to environmental conditions like vehicle density and network load. Besides, the scalability criterion must be investigated in order to make the system viable in real scenarios [11].…”
Abstract-Rapid increase in number of vehicles on the roads as well as growing size of cities have led to a plethora of challenges for road traffic management authorities such as traffic congestion, accidents and air pollution. The work presented in this paper focuses on the particular problem of traffic management for emergency services, for which a delay of few minutes may cause human lives risks as well as financial losses. The goal is to reduce the latency of emergency services for vehicles such as ambulances and police cars, with minimum unnecessary disruption to the regular traffic, and preventing potential misuses. To this end, we propose to design a framework in which the Traffic Management System (TMS) may adapt by dynamically adjusting traffic lights, changing related driving policies, recommending behavior change to drivers, and applying essential security controls. The choice of an adaptation depends on the emergency severity level announced by the emergency vehicle(s). The severity level may need to be verified by corresponding authorities to preserve security measures. We discuss the details of our proposed framework and the potential challenges in the paper.Keywords -Traffic Management Systems (TMSs), Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Adaptive Security, Adaptive Software, Emergency Service, Smart Cities.
“…The main challenge for all of these beacon systems is their sensitivity to environmental conditions like vehicle density and network load. Besides, the scalability criterion must be investigated in order to make the system viable in real scenarios [11].…”
Abstract-Rapid increase in number of vehicles on the roads as well as growing size of cities have led to a plethora of challenges for road traffic management authorities such as traffic congestion, accidents and air pollution. The work presented in this paper focuses on the particular problem of traffic management for emergency services, for which a delay of few minutes may cause human lives risks as well as financial losses. The goal is to reduce the latency of emergency services for vehicles such as ambulances and police cars, with minimum unnecessary disruption to the regular traffic, and preventing potential misuses. To this end, we propose to design a framework in which the Traffic Management System (TMS) may adapt by dynamically adjusting traffic lights, changing related driving policies, recommending behavior change to drivers, and applying essential security controls. The choice of an adaptation depends on the emergency severity level announced by the emergency vehicle(s). The severity level may need to be verified by corresponding authorities to preserve security measures. We discuss the details of our proposed framework and the potential challenges in the paper.Keywords -Traffic Management Systems (TMSs), Vehicle to Vehicle (V2V), Vehicle to Infrastructure (V2I), Adaptive Security, Adaptive Software, Emergency Service, Smart Cities.
“…It has been shown that this type of aggregation schemes have scalability issues [20]. Moreover, the road segment-based group members have a common view of their environment which is achieved either by a multi-round scheme or by quantization.…”
Section: B Fuzzy Logic In Data Aggregationmentioning
Abstract-Information provided in real-time via Vehicular Adhoc Networks is of great value in any kind of traffic systems. Bandwidth issues arise in this type of networks due to the potential large number of nodes. Data aggregation addresses these issues avoiding the dissemination of similar messages in the network. The lack of flexibility in the similarity criteria, security issues and the need of standardization were mentioned among the challenges of data aggregation schemes. Fuzzy Logic, very efficient in real-time systems, has been lately employed in data aggregation schemes. This paper analyzes various solutions for using Fuzzy Logic in data aggregation schemes and their mode of addressing the underlined challenges. The analysis conducted concludes that making use of Fuzzy Logic in data aggregation schemes is suitable to solving some of their issues and has great benefits in the development process of traffic systems that relies on these schemes.
“…This parameter is named as maximum photographic distance, denoted as mpd. How to regulate the orientation of camera for capturing image and how to deal with the image processing are beyond the scope of this paper, related works can be found in [19][20][21].…”
City administrators need to guarantee bus priority in urban public transportation. Building large-scale dedicated bus lanes is a cost-effective solution but it suffers from illegal utilization of dedicated bus lines by other non-permitted vehicles. In general, two systems can be utilized for bus lane monitoring: road-side system and bus mounted system. Although the former one has the advantage in terms of larger surveillance coverage, the investment cost makes it less feasible because of scalability issue. In this paper, we focus on bus mounted system to improve surveillance coverage without additional infrastructure cost. We introduce DoubleChecking, a cooperative violator identification scheme that can accurately pick out those non-permitted vehicles or violators. DoubleChecking is designed to improve the surveillance coverage of bus mounted system by using communications/cooperation between mounted camera sensors and existing camera sensors around intersections. Through theoretical analysis and simulation results, we show that DoubleChecking yields good performance for violator identification.
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